Amazon Aurora

Amazon Aurora
Developer(s) Amazon.com
Initial release October 2014 (2014-10) [1]
Operating system Cross-platform
Available in English
Type relational database SaaS
License Proprietary
Website aws.amazon.com/rds/aurora/

Amazon Aurora is a hosted relational database service developed and offered by Amazon since October 2014.[1][2] Aurora is available as part of the Amazon Relational Database Service (RDS). Although it is a proprietary technology,[3] it offers MySQL compatible service since its release and PostgreSQL compatible since October 2017 [4] and it is also possible to stop and start Aurora Clusters since September 2018 [5]. Since August 2018 Amazon also offers a serverless version of AWS Aurora. [6]

Key features

Aurora does not require the user to provision database storage, as it automatically allocates storage in 10-gigabyte increments, as needed, up to a maximum of 64 terabytes.[7] Aurora offers automatic, six-way replication of those 10-gigabyte chunks across multiple locations for improved availability and fault-tolerance. Aurora also provides users with more comprehensive performance metrics, such as query throughput and latency, as compared to other RDS database engines.[8]

Compatibility limitations with MySQL

Amazon designed Aurora to be compatible with MySQL, meaning that tools for querying or managing MySQL databases (such as the mysql command-line client and the MySQL Workbench graphical user-interface) work with Amazon Aurora databases as well. Not all MySQL options and features are available, however: as of September  2016, Amazon Aurora is only compatible with one version of MySQL (5.6), and supports only InnoDB as a storage engine.[9]

Performance

Amazon claims fivefold performance improvements on benchmarking tests, due to "tightly integrating the database engine with an SSD-based virtualized storage layer purpose-built for database workloads, reducing writes to the storage system, minimizing lock contention and eliminating delays created by database process threads".[9] Other independent tests have shown that Aurora performs better than competing technologies on some, but not all, combinations of workload and instance type.[10]

See also

References

  1. 1 2 https://aws.amazon.com/blogs/aws/highly-scalable-mysql-compat-rds-db-engine/
  2. Preimesberger, Chris (2014-11-12). "Amazon Claims New Aurora DB Engine Screams With Speed". eweek.com. Retrieved 2014-11-13.
  3. Hiltbrand, Troy. "Analysis: Aurora Is Amazon's Answer for Forgotten DBMS Users". Upside. TDWI. Retrieved 14 September 2016.
  4. https://aws.amazon.com/blogs/aws/now-available-amazon-aurora-with-postgresql-compatibility/
  5. https://aws.amazon.com/about-aws/whats-new/2018/09/amazon-aurora-stop-and-start/
  6. https://aws.amazon.com/blogs/aws/aurora-serverless-ga/
  7. "Amazon Aurora FAQs". Amazon.com. Retrieved 14 September 2016.
  8. "Monitoring Amazon Aurora performance metrics". Datadog. Retrieved 15 September 2016.
  9. 1 2 "Amazon Aurora Product Details". Amazon.com. Retrieved 15 September 2016.
  10. Tusa, Marco. "AWS Aurora Benchmarking part 2". Percona. Retrieved 15 September 2016.
  • Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases - SIGMOD'17 (ACM digital library)
  • Amazon Web Services, Inc. (2014-11-12). "Amazon Web Services Announces Amazon Aurora". phx.corporate-ir.net (Press release). Seattle, WA: Amazon.com. Retrieved 2014-11-13.


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